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使用多个选择作为列优化查询

[英]Optimising query with multiple selects as columns

I have a query I made:我有一个查询:

 SELECT DISTINCT player_1 AS player, 
                (SELECT COUNT(*) FROM results WHERE player_1=player OR player_2=player) AS since_start_matches, 
                (SELECT COUNT(*) FROM results WHERE (player_1=player OR player_2=player) AND ht_total_goals=0) AS since_start_ht_0,
                (SELECT COUNT(*) FROM results WHERE (player_1=player OR player_2=player) AND ht_total_goals=1) AS since_start_ht_1,
                (SELECT COUNT(*) FROM results WHERE (player_1=player OR player_2=player) AND ht_total_goals=2) AS since_start_ht_2,
                (SELECT COUNT(*) FROM results WHERE (player_1=player OR player_2=player) AND ht_total_goals=3) AS since_start_ht_3,
                (SELECT COUNT(*) FROM results WHERE (player_1=player OR player_2=player) AND ht_total_goals=4) AS since_start_ht_4,
                (SELECT COUNT(*) FROM results WHERE (player_1=player OR player_2=player) AND ht_total_goals>=5) AS since_start_ht_5_plus
FROM results ORDER BY player

The results table has 25000 entries and it takes around 7 seconds to do this query, which is far too long. results表有 25000 个条目,执行此查询大约需要 7 秒,这太长了。 The query is incredibly inefficient as each column I'm creating is searching again on the same table but with different conditions.该查询非常低效,因为我正在创建的每一列都在同一个表上再次搜索但条件不同。

I tried indexing the columns of interest in my where clause.我尝试在 where 子句中索引感兴趣的列。 This knocks off a couple of seconds.这会关闭几秒钟。 But it's still too slow.但是还是太慢了。

What is the best approach to handle this kind of query?处理此类查询的最佳方法是什么?

I'm using MariaDB 10.2我正在使用 MariaDB 10.2

Unpivot the data then aggregation: Unpivot 数据然后聚合:

 SELECT player, 
        COUNT(*) AS since_start_matches, 
        SUM(ht_total_goals=0) AS since_start_ht_0,
        SUM(ht_total_goals=1) AS since_start_ht_1,
        SUM(ht_total_goals=2) AS since_start_ht_2,
        SUM(ht_total_goals=3) AS since_start_ht_3,
        SUM(ht_total_goals=4) AS since_start_ht_4,
        SUM( ht_total_goals>=5) AS since_start_ht_5_plus
FROM ((SELECT player_1 as player, ht_total_goals
       FROM results
      ) UNION ALL
      (SELECT player_2 as player, ht_total_goals
       FROM results
      )
     ) p
GROUP BY player

You can use the LEFT JOIN and conditional aggregation as follows:您可以使用LEFT JOINconditional aggregation ,如下所示:

SELECT  player_1 AS player, 
                COUNT(T2.player_1) AS since_start_matches, 
                SUM(CASE WHEN T2.ht_total_goals=0 THEN 1 END) AS since_start_ht_0,
                SUM(CASE WHEN T2.ht_total_goals=1 THEN 1 END) AS since_start_ht_1,
                SUM(CASE WHEN T2.ht_total_goals=2 THEN 1 END) AS since_start_ht_2,
                SUM(CASE WHEN T2.ht_total_goals=3 THEN 1 END) AS since_start_ht_3,
                SUM(CASE WHEN T2.ht_total_goals=4 THEN 1 END) AS since_start_ht_4,
                SUM(CASE WHEN T2.ht_total_goals>=5 THEN 1 END) AS since_start_ht_5_PLUS
FROM results T1 LEFT JOIN results T2 
ON (T2.player_1=T.player OR T2.player_2=T.player)
GROUP BY T1.PLA

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